References & Further Reading

References

  1. T. L. Marzetta, E. G. Larsson, H. Yang, and H. Q. Ngo, Fundamentals of Massive MIMO, Cambridge University Press, 2016

    The definitive textbook on massive MIMO. Chapter 7 covers the OFDM extension.

  2. E. Bjornson, J. Hoydis, and L. Sanguinetti, Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency, Now Publishers, 2017

    Comprehensive monograph. Chapters 4 and 7 derive per-subcarrier rate expressions and pilot design for wideband systems.

  3. D. Tse and P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, 2005

    Chapter 3 covers OFDM and frequency-selective channels. Our MIMO extension builds directly on this treatment.

  4. E. Dahlman, S. Parkvall, and J. Skold, 5G NR: The Next Generation Wireless Access Technology, Academic Press, 2nd ed., 2021

    The authoritative reference on 5G NR. Chapters 9–11 cover reference signals, CSI framework, and MIMO in NR.

  5. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, Prentice Hall, 1993

    Chapter 12 covers MMSE estimation and Wiener filtering, the basis for the interpolation-based estimation in Section 3.

  6. T. L. Marzetta, Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas, 2010

    The foundational paper on massive MIMO. Showed that pilot overhead scales with K, not M β€” key for wideband systems.

  7. A. Adhikary, J. Nam, J.-Y. Ahn, and G. Caire, Joint Spatial Division and Multiplexing: The Large-Scale Array Regime, 2013

    The JSDM framework for FDD massive MIMO, conceptually related to 5G NR Type II CSI.

  8. R. W. Chang, Synthesis of Band-Limited Orthogonal Signals for Multichannel Data Transmission, 1966

    The original OFDM proposal.

  9. 3GPP, NR; Physical channels and modulation (TS 38.211), 2023. [Link]

    Defines SRS, CSI-RS, SSB, and the OFDM resource grid structure.

  10. 3GPP, NR; Physical layer procedures for data (TS 38.214), 2023. [Link]

    Defines CSI reporting, Type I/II codebooks, and MU-MIMO scheduling.

Further Reading

For readers wanting to go deeper into specific topics from this chapter.

  • OFDM signal processing and implementation

    A. Goldsmith, *Wireless Communications*, Ch. 12

    Covers OFDM transceiver design, peak-to-average power ratio, and synchronization β€” implementation concerns not treated here.

  • Compressed sensing for sparse channel estimation

    W. U. Bajwa, J. Haupt, A. M. Sayeed, and R. Nowak, 'Compressed channel sensing,' IEEE Trans. IT, 2010

    When the channel has very few dominant taps (sparse), compressed sensing can reduce pilot overhead below the Nyquist limit.

  • Deep learning for OFDM channel estimation

    H. Ye, G. Y. Li, and B. Juang, 'Power of deep learning for channel estimation and signal detection in OFDM systems,' IEEE Wireless Commun. Lett., 2018

    Pioneering work on replacing classical interpolation with learned neural networks.

  • 5G NR Type II CSI codebook design

    Z. Song et al., 'On the Design of Type II Codebook for 5G NR,' IEEE GLOBECOM, 2018

    Details the 3GPP codebook structure behind the Type II feedback described in Section 4.

  • Massive MIMO-OFDM with hardware impairments

    E. Bjornson, M. Matthaiou, and M. Debbah, 'Massive MIMO with Non-Ideal Arbitrary Arrays,' IEEE Trans. Signal Process., 2014

    Analyzes how ADC quantization, phase noise, and amplifier nonlinearity affect wideband performance.